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Expert Systems
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Expert Systems






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    Expert Systems Expert Systems Presentation Transcript

    • Expert Systems Sailendra Sharma Rohan Tamrkar Indira School Of Career Development [email_address]
    • Introduction
      • A computer application that performs a task that would otherwise be performed by a human expert. For example, there are expert systems that can diagnose human illnesses, make financial forecasts, and schedule routes for delivery vehicles.
      • Some expert systems are designed to take the place of human experts, while others are designed to aid them.
      • Expert systems are part of a general category of computer applications known as artificial intelligence .
      • To design an expert system, one needs a knowledge engineer, an individual who studies how human experts make decisions and translates the rules into terms that a computer can understand.
    • Expert systems are used to aid
      • Single point decisions. e.g. Planning
      • Designing. e.g. Design of an irrigation system
      • Selection. e.g. The most suitable Crop variety or market outlet
      • Diagnosis or identification. e.g. Of a livestock disorder
      • Interpretation. e.g. Of a set of financial accounts
      • Prediction. e.g. of extreme events such as thunderstorms and frost;
      • A sequence of tactical decisions throughout a production cycle. e.g. plant protection and nutrition decisions, livestock feeding.
    • Components of an Expert System
      • Knowledge
      • – In various forms: associations, models, etc.
      • Strategy
      • – Exhaustive enumeration, on-line, etc.
      • Implementation
      • – Programs, pattern matching, rules, etc.
    • Particular decision problem
      • As a stand – alone advisory system for the specific knowledge domain perhaps with monitoring by a human expert
      • To provide decision – support for a high-level human expert
      • To allow a high-level expert to be replaced by a subordinate expert aided by the expert system
      • As a delivery system for extension information
      • To provide management education for decision makers
      • For dissemination of up-to-date scientific information in a readily accessible and easily understood form, to agricultural researchers and advisers.
    • Logic flow of the expert system
      • The part of the plant where symptoms have been the observed is given by the extension officer
      • The basic symptoms are given as input;
      • Considering these symptoms the user is expected to give further information based on other visual symptoms
      • At this step the disease and pest are identified
      • The user is then given the option to either stop or further diagnose and other disease / pest or get preventive or curative measures on these.
    • Advantages
      • Have the ability to imitate human thought and reasoning
      • Make modification of knowledge very convenient
      • Ability of interpretation and transparency makes interaction more user friendly
      • With the machine learning technique knowledge can be acquired automatically and directly from experimental data and real time examples
      • Provide expert level recommendations understandable to users
      • Have the ability to handle uncertain information
    • Indian Expert Systems
      • Rice-Crop
      • National Institute of Agricultural Extension Management (MANAGE) has developed an expert system to diagnose pests and diseases for rice crop and suggest preventive/curative measures.
      • The rice crop doctor illustrates the use of expert-systems broadly in the area of agriculture and more specifically in the area of rice production through development of a prototype, taking into consideration a few major pests and diseases and some deficiency problems limiting rice yield.
      • The diseases included are rice blast, brown spots, sheath blight, rice tungro virus, false smut fungi, bacterial leaf blight, sheath rot and zinc deficiency disease.
      • The pests included are stem borers, rice gall midge, brown plant hopper, rice leaf folder, green leaf hopper and Gundhi bug.
    • Conclusion
      • The Expert system must be developed in local languages which will help the Farmers to develop their own expertise which in turn will enhance the production and productivity of Agriculture.
      • These expert systems must be available in village booths which act as information resource center for the farmers in the villages.
      • Manager should promote the development of expert systems and act as a co-orientating /nodal agency and also motivate and train people to make best use of expert systems.
      • Manager may play a crucial role in encouraging and promoting extension departments, NGO’s to serve people better by adopting expert systems as critical component of cyber extension.
    • Thank You [email_address]